Supplementary tables for Individual Brain Charting Data Descriptor (V5)

<b>Home to the behavioural data for the tasks included on the 5th release of the IBC dataset.</b><b>Supplementary Table 6</b>. Visualization of data anomalies. The audio device used for the MathLanguage protocol was OptoACTIVE (Optoacoustics) for all subjects, except for sub-05 and sub-08, who used MRConfon MKII. The data for tasks FaceBody, NARPS, Scene, RewProc and VisualSearch consists of maps from only 9 subjects, sub-05 and sub-13 were no longer available for those sessions.<b>Supplementary Table 7.</b> Regressors-of-interest considered for the design matrices of each task on this release. List of all the conditions of each task considered as regressors for the design matrices in the first level statistical analysis. This list includes also a brief description.<b>Supplementary Table 8.</b> Annotations from the Cognitive Atlas for each condition of this release. Each condition on this release was annotated by assigning one or more "tags", which are cognitive concepts taken from the Cognitive Atlas.<b>Supplementary Table 9.</b> Main contrasts for the task present on this release. We list some contrasts generated for each task in this release, created by comparing the conditions of the task. For a full list of contrasts, please refer to the IBC documentation website.<b>Supplementary Table 10.</b> Performance Accuracy (%) for the Mathematics and Language task. The table shows the accuracy for each subject and each run of the task. The accuracy was calculated as the percentage of correct answers.<b>Supplementary Table 11</b>. Performance Accuracy (%) for the Spatial Navigation task. The table shows the accuracy for each subject and each run of the task. The accuracy was calculated as the percentage of correct answers.<b>Supplementary Table 12.</b> Performance accuracy (%) for the Emotional Memory task. The table shows the accuracy for each subject and each run of the task, calculated as the percentage of active responses, reflecting the attention of the participant to the task.<b>Supplementary Table 13.</b> Performance accuracy (%) for the Emotion Recognition task. The table shows the accuracy for each subject and each run of the task, calculated as the percentage of correct responses.<b>Supplementary Table 14.</b> Performance accuracy (%) for the StopNoGo task. The table shows the accuracy for each subject and each run of the task, calculated as the percentage of correctly withheld responses.<b>Supplementary Table 15.</b> Performance accuracy (%) for the Catell task. The table shows the accuracy for each subject and each run of the task. The accuracy was calculated as the percentage of correct responses.<b>Supplementary Table 16.</b> Performance accuracy (%) for the Finger Tapping task. The table shows the accuracy for each subject and each run of the task. The accuracy was calculated as the percentage of correct responses.<b>Supplementary Table 17.</b> Performance accuracy (%) for the VSTMC task. The table shows the accuracy for each subject and each run of the task. The accuracy was calculated as the percentage of correct responses.<b>Supplementary Table 18.</b> Performance accuracy (%) for the Reward Processing task. The table shows the accuracy for each subject and each run of the task. The accuracy was calculated as the percentage of executed responses, reflecting attentiveness level.<b>Supplementary Table 19</b>. Performance accuracy (%) for the NARPS task. The table shows the accuracy for each subject and each run of the task. The accuracy was calculated as the percentage of executed responses, reflecting attentiveness level.<b>Supplementary Table 20.</b> Performance accuracy (%) for the FaceBody task. The table shows the accuracy for each subject and each run of the task. The accuracy was calculated as the percentage of correct responses.<b>Supplementary Table 21.</b> Performance accuracy (%) for the Scene task. The table shows the accuracy for each subject and each run of the task. The accuracy was calculated as the percentage of correct responses for each of the four possible conditions. We decided to calculate the accuracy for each condition separately for this task, as the scores are more informative than the overall accuracy due to the nature of the task.<b>Supplementary Table 22.</b> Performance accuracy (%) for the Item Recognition task. The table shows the accuracy for each subject and each run of the task. The accuracy was calculated as the percentage of correct responses.<b>Supplementary Table 23.</b> Performance accuracy (%) for the Visual Search, Working Memory task. The table shows the accuracy for each subject and each run of the task. The accuracy was calculated as the percentage of correct responses.